WO2010039744A1 - Optimisation de l’étalonnage d’un capteur d’analytes - Google Patents

Optimisation de l’étalonnage d’un capteur d’analytes Download PDF

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Publication number
WO2010039744A1
WO2010039744A1 PCT/US2009/058895 US2009058895W WO2010039744A1 WO 2010039744 A1 WO2010039744 A1 WO 2010039744A1 US 2009058895 W US2009058895 W US 2009058895W WO 2010039744 A1 WO2010039744 A1 WO 2010039744A1
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WO
WIPO (PCT)
Prior art keywords
calibration
analyte sensor
blood glucose
analyte
glucose measurement
Prior art date
Application number
PCT/US2009/058895
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English (en)
Inventor
Erwin Satrya Budiman
Wesley Scott Harper
Timothy Christian Dunn
Original Assignee
Abbott Diabetes Care Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Abbott Diabetes Care Inc. filed Critical Abbott Diabetes Care Inc.
Priority to EP09818388.2A priority Critical patent/EP2328465A4/fr
Publication of WO2010039744A1 publication Critical patent/WO2010039744A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1495—Calibrating or testing of in-vivo probes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221—Determining signal validity, reliability or quality

Definitions

  • the present disclosure relates to analyte monitoring devices and systems. More specifically, the present disclosure relates to optimizing calibration of analyte sensors in analyte monitoring devices and systems.
  • analyte levels such as glucose levels of diabetic patients.
  • Commercially available continuous glucose monitoring systems use analyte sensors that detect the glucose levels of the patients for a predetermined time period. During this time period, the analyte sensor is generally required to be periodically calibrated with a blood glucose measurement using, for example, an in vitro blood glucose meter.
  • Calibration of an analyte sensor typically follows a calibration schedule over the life of the analyte sensor, and are intended to maintain the accuracy of the analyte sensor during its useful life.
  • Each calibration routine requires analysis of data from the analyte sensor in conjunction with a reference value, such as from a finger prick test using a lancing device in conjunction with a conventional blood glucose meter. While other areas of the body may be used to perform the blood glucose measurement, such measurement typically requires drawing a blood sample from the patient and applying the blood sample to a blood glucose test strip. This is often a painful experience and which must be performed periodically based on the calibration schedule of the analyte sensor.
  • method and apparatus for receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, and initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period.
  • method and apparatus include receiving a current reference data associated with a monitored analyte level, determining whether a next scheduled calibration event for calibrating an analyte sensor associated with the monitored analyte level is within a predetermined time period, validating one or more conditions associated with the calibration of the analyte sensor when the next scheduled calibration event is determined to be within the predetermined time period, and calibrating the analyte sensor based on the received current reference data.
  • an apparatus includes one or more processors; and a memory operatively coupled to the one or more processors for storing instructions which, when executed by the one or more processors, retrieves a time information for an upcoming scheduled calibration event for calibrating an analyte sensor when a current blood glucose measurement is received, determines a temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, and initiates a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period.
  • FIG. 1 is a block diagram illustrating an overall system for practicing one or more embodiments of the present disclosure
  • FIG. 2 is an example flowchart for optimizing analyte sensor calibration in accordance with one embodiment of the present disclosure
  • FIG. 3 is an example flowchart for optimizing analyte sensor calibration in accordance with another embodiment of the present disclosure
  • FIG. 4 is an example flowchart for optimizing analyte sensor calibration in accordance with yet another embodiment of the present disclosure.
  • embodiments of the present disclosure relate to methods and devices for detecting at least one analyte such as glucose in body fluid.
  • the present disclosure relates to the continuous and/or automatic in vivo monitoring of the level of an analyte using an analyte sensor.
  • embodiments include analyte monitoring devices and systems that include an analyte sensor- at least a portion of which is positionable beneath the skin of the user - for the in vivo detection, of an analyte, such as glucose, lactate, and the like, in a body fluid.
  • an analyte such as glucose, lactate, and the like
  • Embodiments include wholly implantable analyte sensors and analyte sensors in which only a portion of the sensor is positioned under the skin and a portion of the sensor resides above the skin, e.g., for contact to a transmitter, receiver, transceiver, processor, etc.
  • the sensor may be, for example, subcutaneous Iy positionable in a patient for the continuous or periodic monitoring of a level of an analyte in a patient's interstitial fluid.
  • continuous monitoring and periodic monitoring will be used interchangeably, unless noted otherwise.
  • the analyte level may be correlated and/or converted to analyte levels in blood or other fluids.
  • an analyte sensor may be positioned in contact with interstitial fluid to detect the level of glucose, which detected glucose may be used to infer the glucose level in the patient's bloodstream.
  • Analyte sensors may be insertable into a vein, artery, or other portion of the body containing fluid.
  • Embodiments of the analyte sensors of the subject invention may be configured for monitoring the level of the analyte over a time period which may range from minutes, hours, days, weeks, or longer.
  • analyte sensors such as glucose sensors, that are capable of in vivo detection of an analyte for about one hour or more, e.g., about a few hours or more, e.g., about a few days of more, e.g., about three or more days, e.g., about five days or more, e.g., about seven days or more, e.g., about several weeks or at least one month.
  • Future analyte levels may be predicted based on information obtained, e.g., the current analyte level at time to, the rate of change of the analyte, etc.
  • Predictive alarms may notify the user of predicted analyte levels that may be of concern prior in advance of the analyte level reaching the future level. This enables the user an opportunity to take corrective action.
  • FIG. 1 shows a data monitoring and management system such as, for example, an analyte (e.g., glucose) monitoring system 100 in accordance with certain embodiments.
  • an analyte e.g., glucose
  • the analyte monitoring system may be configured to monitor a variety of analytes at the same time or at different times.
  • Analytes that may be monitored include, but are not limited to, acetyl choline, amylase, bilirubin, cholesterol, chorionic gonadotropin, creatine kinase (e.g., CK-
  • the analyte monitoring system 100 in one embodiment includes a sensor 101, a data processing unit 102 connectable to the sensor 101, and a primary receiver unit
  • the primary receiver unit 104 which is configured to communicate with the data processing unit 102 via a communication link 103.
  • the primary receiver unit 104 may be further configured to transmit data to a data processing terminal 105 to evaluate or otherwise process or format data received by the primary receiver unit 104.
  • the data processing terminal 105 may be configured to receive data directly from the data processing unit 102 via a communication link which may optionally be configured for bi-directional communication.
  • the data processing unit 102 may include a transmitter or a transceiver to transmit and/or receive data to and/or from the primary receiver unit 104, the data processing terminal 105 or optionally the secondary receiver unit 106.
  • an optional secondary receiver unit 106 which is operatively coupled to the communication link and configured to receive data transmitted from the data processing unit 102.
  • the secondary receiver unit 106 may be configured to communicate with the primary receiver unit 104, as well as the data processing terminal 105.
  • the secondary receiver unit 106 may be configured for bidirectional wireless communication with each of the primary receiver unit 104 and the data processing terminal 105.
  • the secondary receiver unit 106 may be a de-featured receiver as compared to the primary receiver, i.e., the secondary receiver may include a limited or minimal number of functions and features as compared with the primary receiver unit 104.
  • the secondary receiver unit 106 may include a smaller (in one or more, including all, dimensions), compact housing or embodied in a device such as a wrist watch, arm band, etc., for example.
  • the secondary receiver unit 106 may be configured with the same or substantially similar functions and features as the primary receiver unit 104.
  • the secondary receiver unit 106 may include a docking portion to be mated with a docking cradle unit for placement by, e.g., the bedside for night time monitoring, and/or bi-directional communication device. Only one sensor 101, data processing unit 102 and data processing terminal
  • the analyte monitoring system 100 may include more than one sensor 101 and/or more than one data processing unit 102, and/or more than one data processing terminal 105. Multiple sensors may be positioned in a patient for analyte monitoring at the same or different times.
  • analyte information obtained by a first positioned sensor may be employed as a comparison to analyte information obtained by a second sensor. This may be useful to confirm or validate analyte information obtained from one or both of the sensors. Such redundancy may be useful if analyte information is contemplated in critical therapy-related decisions.
  • a first sensor may be used to calibrate a second sensor.
  • the analyte monitoring system 100 may be a continuous monitoring system, or semi-continuous, or a discrete monitoring system.
  • each component may be configured to be uniquely identified by one or more of the other components in the system so that communication conflict may be readily resolved between the various components within the analyte monitoring system 100.
  • unique identification codes IDs
  • communication channels and the like, may be used.
  • the senor 101 is physically positioned in or on the body of a user whose analyte level is being monitored.
  • the sensor 101 may be configured to at least periodically sample the analyte level of the user and convert the sampled analyte level into a corresponding signal for transmission by the data processing unit 102.
  • the data processing unit 102 is coupleable to the sensor 101 so that both devices are positioned in or on the user's body, with at least a portion of the analyte sensor 101 positioned transcutaneously.
  • the data processing unit 102 performs data processing functions, where such functions may include but are not limited to, filtering and encoding of data signals, each of which corresponds to a sampled analyte level of the user, for transmission to the primary receiver unit 104 via the communication link 103.
  • the sensor 101 or the data processing unit 102 or a combined sensor/data processing unit may be wholly implantable under the skin layer of the user.
  • the primary receiver unit 104 may include an analog interface section including and RF receiver and an antenna that is configured to communicate with the data processing unit 102 via the communication link 103, data processing unit 102 and a data processing section for processing the received data from the data processing unit 102 such as data decoding, error detection and correction, data clock generation, and/or data bit recovery.
  • the primary receiver unit 104 in certain embodiments is configured to synchronize with the data processing unit 102 to uniquely identify the data processing unit 102, based on, for example, an identification information of the data processing unit 102, and thereafter, to periodically receive signals transmitted from the data processing unit 102 associated with the monitored analyte levels detected by the sensor 101.
  • each of the primary receiver unit 104 and the secondary receiver unit 106 may include a blood glucose test strip port such that the user or the patient may perform finger prick tests using blood glucose test strips. Accordingly, in aspects of the present disclosure, the primary receiver unit 104 and the secondary receiver unit 106 may incorporate the functionalities of a blood glucose meter for processing a blood sample to determine a corresponding blood glucose measurement which may be performed by one or more controllers provided in the receiver unit including, for example, a microprocessor, application specific integrated circuit and/or a state machine for executing one or more routines associated with the processing and determination of blood glucose sample to determine the blood glucose level.
  • the data processing terminal 105 may include a personal computer, a portable computer such as a laptop or a handheld device (e.g., personal digital assistants (PDAs), telephone such as a cellular phone (e.g., a multimedia and Internet-enabled mobile phone such as an iPhone, Palm® device, Blackberry® device or similar device), mp3 player, pager, and the like), drug delivery device, each of which may be configured for data communication with the receiver via a wired or a wireless connection. Additionally, the data processing terminal 105 may further be connected to a data network (not shown) for additionally storing, retrieving, updating, and/or analyzing data corresponding to the detected analyte level of the user.
  • a data network not shown
  • the communication link 103 as well as one or more of the other communication interfaces shown in FIG. 1 to communicate data between the data processing unit 102, the primary receiver unit 104, secondary receiver unit 106 and the data processing terminal 105 may use one or more of an RF communication protocol, an infrared communication protocol, a Bluetooth enabled communication protocol, an 802.1 Ix wireless communication protocol, or an equivalent wireless communication protocol which would allow secure, wireless communication of several units (for example, per HIPPA requirements) while avoiding potential data collision and interference.
  • data communication between the primary receiver unit 104 and the data processing terminal 105, or between the secondary receiver unit 106 and the data processing terminal 105 may include wireless or wired connection such as USB connection, RS-232 connection, serial connection, and the like, to transfer data between the one or more of the primary and the secondary receiver units 104, 106 to the data processing terminal 105.
  • wireless or wired connection such as USB connection, RS-232 connection, serial connection, and the like
  • FIG. 2 is an example flowchart for optimizing analyte sensor calibration in accordance with one embodiment of the present disclosure.
  • a blood glucose information is received (210) for example, using a finger prick test using a blood glucose test strip
  • an analyte sensor calibration schedule associated with the analyte sensor 101 is retrieved (220).
  • the calibration schedule may include a predetermined time intervals at which the sensor 101 is calibrated using a reference measurement such as a blood glucose measurement.
  • one or more memory module or storage unit of the receiver unit 104/106 may store the calibration schedule associated with the sensor 101.
  • a temporal proximity of the next upcoming scheduled calibration event is determined (230). That is, in one aspect, when a blood glucose measurement is received, the sensor calibration schedule is reviewed to determine when the next scheduled calibration event is to occur. Thereafter, the temporal proximity is compared to a predetermined time period to determine whether the timing of when the current blood glucose measurement is within a time window associated with the next scheduled calibration event (240).
  • the temporal proximity is determined to be approximately one hour from the next scheduled calibration event (at the 24 hour).
  • the temporal proximity is then compared to the predetermined time period which may be pre-programmed, for example, in the receiver unit (104/106) and may include, for example 90 minutes.
  • a blood glucose measurement is received not in response to an execution of a calibration routine to calibrate the sensor 101, it is determined whether the timing of the received blood glucose measurement is within the predetermined time period from the next scheduled calibration event. Referring back to FIG. 2, if it is determined that the temporal proximity of the upcoming or next scheduled calibration event is within the predetermined time period, then the calibration routine to calibrate the analyte sensor is initiated (250).
  • the calibration routine when the calibration routine is initiated, a preliminary check, the calibration conditions are evaluated to determine if calibration of the analyte sensor is appropriate, and when it is determined that the calibration conditions are appropriate, the routine proceeds with executing one or more functions associated with the calibration of the analyte sensor.
  • the current blood glucose information as well as other data or information may be stored in a memory or storage unit of the receiver unit 104/106.
  • the current blood glucose measurement received is stored, for example, in a memory or storage unit of the receiver unit 104/106 (260).
  • the user or the patient may be notified of the successful calibration event, and further, that the successful calibration event overrides the upcoming scheduled calibration, and that the user or the patient will not be prompted or requested to perform the upcoming scheduled calibration including providing another blood glucose information.
  • the patient or the user of the analyte monitoring system 100 performs a blood glucose measurement between the scheduled calibration time periods, a determination is made to accept the blood glucose measurement to perform calibration of the analyte sensor 101. Thereafter, the upcoming or next scheduled calibration event may be overridden or updated with the calibration performed based on the blood glucose measurement received.
  • analyte monitoring system 100 while minimizing the number of blood glucose measurements to calibrate the analyte sensor 101 during its useful life.
  • a self-initiated blood glucose measurement for example, using a standard blood glucose meter, or using the receiver unit 104/106 having such functionality integrated therein
  • the patient or the user of the analyte monitoring system 100 may be subject to one less finger prick test to determine blood glucose measurement to calibrate the analyte sensor 101. While particular examples are provided above for the predetermined time period used to compare the temporal proximity of the current blood glucose measurement to the next or upcoming scheduled calibration event, and further, while particular example calibration schedule is described above, within the scope of the present disclosure, the particular predetermined time period to compare the temporal proximity of the blood glucose measurement, or the particular calibration schedule may be varied.
  • the calibration schedule may be provided to require calibration routine once every 24 hours measured from the initial sensor insertion.
  • the calibration schedule time periods may be different for each period during the life of the sensor (which may be 3 days, 5 days, 7 days or more), and further, each subsequent calibration routine after the initial calibration may be determined relative to the immediately preceding successful calibration routine performed, and not relative to the time associated with the initial sensor insertion.
  • the predetermined time period used to compare the temporal proximity may include other time periods such as approximately one hour, or approximately two hours, or any other suitable time period rather than approximately 90 minutes.
  • FIG. 3 is an example flowchart for optimizing analyte sensor calibration in accordance with another embodiment of the present disclosure.
  • temporal proximity of the next scheduled analyte sensor calibration event is determined (320). Thereafter, the determined temporal proximity is compared to a predetermined time period as described above (330), and when it is determined that the temporal proximity is not within the predetermined time period, the received calibration reference data is stored (370) and the routine terminates.
  • a request to confirm analyte sensor calibration may be generated and provided to the user or the patient (340).
  • the user or the patient may be provided with an opportunity to accept or decline the execution of the calibration routine based on the calibration reference data given the temporal proximity of the next or subsequent upcoming calibration schedule to calibrate the analyte sensor 101 (FIG. 1).
  • using an output device such as a display on the receiver unit
  • the user may be prompted to confirm the execution of the calibration routine in addition to providing information associated with when the next scheduled calibration is to occur.
  • the calibration reference data is stored (370) and the routine terminates.
  • the analyte sensor calibration routine is initiated (360) to execute the routine associated with the calibration of the analyte sensor.
  • the calibration reference data as well as other information and data may be stored in the memory or storage device of the receiver unit 104/106.
  • calibration conditions may be evaluated to determine whether analyte sensor calibration conditions are appropriate. Alternatively, evaluation of the calibration conditions may be performed after the user or the patient has provided acknowledgement confirmation to perform the calibration.
  • initiating the calibration routine may include, in one aspect, validating or confirming the acceptability of the received calibration reference data (for example, a determination that the blood glucose measurement used as the calibration reference data is within a predefined acceptable range such as 40 mg/dL to 400 mg/dL).
  • FIG. 4 is an example flowchart for optimizing analyte sensor calibration in accordance with yet another embodiment of the present disclosure.
  • a predetermined time period for example, such as 90 minutes from when the current reference data is received
  • calibration conditions are validated to determine that conditions associated with the patient and the analyte sensor, among others, are appropriate (430).
  • the calibration condition may not be valid when the rate of change of the analyte level exceeds a predetermined threshold level or range.
  • the calibration condition may be determined to be invalid when insufficient analyte sensor data points are present (whether due to data packet drop outs from the data processing unit 102 (FIG. 1), or signal dropout events such as signal attenuation.
  • other parameters and/or conditions are reviewed and analyzed to determine whether the calibration condition is valid. Examples of such other parameters or conditions are further described in U.S. Patent Nos. 6,175,752 and 7,299,083, among others, the disclosure of each of which are incorporated by reference for all purposes. Referring back to FIG.
  • the analyte sensor upon validation of the calibration conditions (430), is calibrated using the received current reference data (440). Moreover, after calibration, the stored calibration schedule in one aspect may be retrieved and updated to include the calibration performed based on the received current reference data (450). Moreover, in one aspect, the retrieved calibration schedule may be updated to replace the next scheduled analyte sensor calibration event with the calibration based on the current reference data.
  • the number of required blood glucose measurement using a blood glucose test strip may be minimized.
  • the analyte monitoring system may automatically perform the calibration of the analyte sensor based on the blood glucose measurement received, and thereafter, notify the user or the patient of the successful calibration of the sensor, or alternatively, provide the patient or the user with the option to confirm the performance of the calibration of the sensor based on the receive blood glucose measurement.
  • a method in one aspect includes receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, and initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period.
  • initiating the calibration routine may include calibrating the analyte sensor based on the received current blood glucose measurement.
  • the method may include determining validity of the current blood glucose measurement, for example, by comparing the current blood glucose measurement to a predetermined ranges or values.
  • determining validity of the current blood glucose measurement may include analyzing the current blood glucose measurement based on a predetermined threshold range, a temperature information, or a combination thereof.
  • the method may include determining the validity of an analyte sensor data, including one or more of analyzing the analyte sensor data based on one or more of a rate of change of the analyte level, a temperature information, a predetermined analyte level threshold range, or one or more combinations thereof.
  • the method may include overriding the upcoming scheduled calibration event when the calibration routine to calibrate the analyte sensor based on the received current blood glucose measurement is successful.
  • initiating the calibration routine may include validating one or more calibration condition parameters associated with the calibration of the analyte sensor.
  • Yet still further aspect may include generating an output signal confirming completion of the upcoming scheduled calibration event.
  • the method may include updating a calibration schedule for calibrating the analyte sensor based on the initiated calibration routine.
  • initiating calibration routine may include automatically performing the calibration routine to calibrate the analyte sensor when the determined temporal proximity is within the predetermined time period.
  • a method in accordance with another aspect of the present disclosure includes receiving a current reference data associated with a monitored analyte level, determining whether a next scheduled calibration event for calibrating an analyte sensor associated with the monitored analyte level is within a predetermined time period, validating one or more conditions associated with the calibration of the analyte sensor when the next scheduled calibration event is determined to be within the predetermined time period, and calibrating the analyte sensor based on the received current reference data.
  • the analyte sensor may be associated with a time spaced calibration schedule including the next scheduled calibration event.
  • the time spaced calibration schedule may include unevenly time spaced calibration schedule during the life of the sensor.
  • the method may include updating the time spaced calibration schedule based on analyte sensor calibration using the received current reference data
  • the method may include associating the current reference data with a corresponding calibrated analyte sensor data.
  • the method may include disabling a calibration routine associated with the next scheduled calibration event.
  • An apparatus in accordance with another aspect of the present disclosure includes one or more processors, and a memory operatively coupled to the one or more processors for storing instructions which, when executed by the one or more processors, retrieves a time information for an upcoming scheduled calibration event for calibrating an analyte sensor when a current blood glucose measurement is received, determines a temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, and initiates a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period.
  • the apparatus may include a blood glucose strip port configured to receive a blood glucose test strip providing the current blood glucose measurement. That is, in one aspect, the receiver unit 104/106 (FIG.
  • the apparatus may include an integrated blood glucose test strip port and configured to analyze the blood sample received from the test strip to determine the corresponding blood glucose level.
  • the apparatus may include a housing coupled to the blood glucose strip port and further, wherein the one or more processors and the memory are provided in the housing.
  • 2-4 may be embodied as computer programs developed using an object oriented language that allows the modeling of complex systems with modular objects to create abstractions that are representative of real world, physical objects and their interrelationships.
  • the software required to carry out the inventive process which may be stored in a memory (or similar storage devices in the data processing unit 102, or the receiver unit 104/106) of the processor, may be developed by a person of ordinary skill in the art and may include one or more computer program products.
  • Various other modifications and alterations in the structure and method of operation of this present disclosure will be apparent to those skilled in the art without departing from the scope and spirit of the present disclosure.

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Abstract

La présente invention concerne un procédé et un appareil d’optimisation de l’étalonnage d’un capteur d’analytes comprenant la réception d’une mesure de glycémie actuelle, la récupération d’informations temporelles pour un événement d’étalonnage prévu à venir pour l’étalonnage d’un capteur d’analytes, la détermination de la proximité temporelle entre la mesure de glycémie actuelle et les informations temporelles récupérées pour l’événement d’étalonnage à venir, l’initiation d’une routine d’étalonnage pour étalonner le capteur d’analytes lorsque la proximité temporelle déterminée se trouve dans une période de temps prédéterminée, et l’annulation de l’événement d’étalonnage prévu à venir en utilisant la mesure de glycémie actuelle.
PCT/US2009/058895 2008-09-30 2009-09-29 Optimisation de l’étalonnage d’un capteur d’analytes WO2010039744A1 (fr)

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US11484234B2 (en) 2022-11-01
US20170258379A1 (en) 2017-09-14
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US8744547B2 (en) 2014-06-03
US20120277564A1 (en) 2012-11-01
US20210275065A1 (en) 2021-09-09
US20220110553A1 (en) 2022-04-14
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US20140257059A1 (en) 2014-09-11
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US11202592B2 (en) 2021-12-21
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US9662056B2 (en) 2017-05-30
US8219173B2 (en) 2012-07-10
US20100081909A1 (en) 2010-04-01
US11013439B2 (en) 2021-05-25
US20230051983A1 (en) 2023-02-16
US20240252076A1 (en) 2024-08-01

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